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Python implementation of Gradient Descent Algorithm isn't working

score 245 · Answer 1 · 2015-06-10 01:34:43

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Python implementation of Gradient Descent Algorithm isn't working

245 views Asked by razalfuhl At 10 June 2015 at 01:34

score 403 · Answer 2 · 2015-06-10 21:41:32

Basic Machine Learning: Linear Regression and Gradient Descent

403 views Asked by anon_swe At 10 June 2015 at 21:41

score 1233 · Answer 3 · 2015-06-11 16:00:45

Theano stochastic gradient descent NaN output

1.2k views Asked by Isadora Nun At 11 June 2015 at 16:00

score 89 · Answer 4 · 2015-06-25 22:17:21

Comparing the accuracies of different numerical gradients?

89 views Asked by Hieu Pham At 25 June 2015 at 22:17

score 770 · Answer 5 · 2016-12-15 04:22:24

Gradient Descent on a logarithmic decline curve in Python

770 views Asked by Scott Rothbarth At 15 December 2016 at 04:22

score 724 · Answer 6 · 2016-12-19 09:31:06

Slow Adagrad Convergence

724 views Asked by Caleb Everett At 19 December 2016 at 09:31

score 1911 · Answer 7 · 2016-12-19 14:39:37

Does Stochastic Gradient Descent even work with TensorFlow?

1.9k views Asked by hallo02 At 19 December 2016 at 14:39

score 524 · Answer 8 · 2016-12-17 20:37:46

Implementing naive gradient descent in python

524 views Asked by Ahmad Abdelzaher At 17 December 2016 at 20:37

score 213 · Answer 9 · 2016-12-20 15:26:25

Increasing and wide spreading cost function with Stochastic Gradient Descent

213 views Asked by hallo02 At 20 December 2016 at 15:26

score 724 · Answer 10 · 2016-12-21 04:23:55

Wouldn't setting the first derivative of Cost function J to 0 gives the exact Theta values that minimize the cost?

724 views Asked by user7314729 At 21 December 2016 at 04:23

TechQA.

List Question

Python implementation of Gradient Descent Algorithm isn't working

Basic Machine Learning: Linear Regression and Gradient Descent

Theano stochastic gradient descent NaN output

Comparing the accuracies of different numerical gradients?

Gradient Descent on a logarithmic decline curve in Python

Slow Adagrad Convergence

Does Stochastic Gradient Descent even work with TensorFlow?

Implementing naive gradient descent in python

Increasing and wide spreading cost function with Stochastic Gradient Descent

Wouldn't setting the first derivative of Cost function J to 0 gives the exact Theta values that minimize the cost?

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